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Workforce Optimizer

AI-driven workforce planning and scheduling software

Junior Quality Assurance Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timePasig, Metro Manila, PhilippinesNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science or STEM is required.
  • At least 2–3 years of experience testing large and complex enterprise web applications, focused on manual testing, is required.
  • Hands-on experience developing automated test suites using Selenium or similar tools is required.
  • Experience testing software products in Java/J2EE and web environments is required.
  • Excellent knowledge of internet and web technologies is required.
  • Good working knowledge of the Windows environment and SQL databases is required.
  • Strong written and verbal communication skills are required.
  • Experience implementing API-level test cases is highly desirable.
  • Exposure to full life-cycle commercial product development is highly desirable.
  • Exposure to Cypress, K6, Appium, and Robot Framework is highly desirable.

Responsibilities

  • Deliver high-quality product testing and comprehensive support for Workforce Optimizer products.
  • Keep JIRA case notes up to date and accurately record the problem statement, troubleshooting efforts, results, next steps with timeframes, and actual time worked.
  • Use customer service skills and techniques that promote customer satisfaction and retention.
  • Continuously update technical skills and domain expertise to meet service-level commitments, customer expectations, and changes in the technology landscape.

Desired Qualifications

  • Experience implementing API-level test cases.
  • Exposure to full life-cycle commercial product development.
  • Exposure to Cypress, K6, Appium, and Robot Framework.

About the Company

Workforce Optimizer

AI-driven workforce planning and scheduling software

Workforce Optimizer provides cloud-based, AI-powered workforce management software that helps enterprises forecast labor demand, optimize staff schedules, and manage the workforce in real time. Its core product, WorkforceOptimizer, uses machine learning and mathematical optimization to translate complex scheduling rules into demand-based schedules, with features like predictive workload analysis, dynamic rescheduling, time and attendance tracking, and workforce analytics. The company differentiates itself by applying AI-driven optimization for real-time scheduling and by serving a diverse set of industries, with notable customers and a strategic Philips partnership in healthcare. Its goal is to reduce manual scheduling work, cut overtime costs, ensure regulatory compliance, and improve service quality by aligning staffing with customer demand.

Company size
51-200
Company stage
Series A
Total funding
$3.6M
Headquarters
Singapore, Singapore
Founded
2004

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